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Name: Deepanshi
Type: User
Name: Deepanshi
Type: User
Bladder Cancer Cell Segmentation from microscopic tissue images with UNET architecture and analysis of KI-67.
Python implementation of the paper: EnsembleWave: An ensembled approach for Automatic Speech Emotion Recognition
End-to-End Speech Processing Toolkit
Complete code for linear and non-linear unmixing Hyperspectral images in Python.
Takes in a .wav file outputs a pitch shifted wav file of the same length
ResNetnetwork (<2M params) for Rotated Object Detection with Modulated Rotation Loss and noisy data
Keras implementation of the paper RSCDNet: A robust Deep learning architecture for change detection from bi-temporal high resolution remote sensing images.
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
Native Python WFDB package
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.